Abstract

We develop deep-learning methods for rapid analysis of spectroscopic ellipsometry data. Our approach speeds analysis by thousand-fold compared to traditional methods. We demonstrate the usefulness of our approach for a high-throughput study of phase-change alloys.

© 2021 The Author(s)

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